{"id":"W1983461660","doi":"10.1111/j.1532-5415.2011.03833.x","title":"Protein Intake and Muscle Strength in Older Persons: Does Inflammation Matter?","year":2012,"lang":"en","type":"article","venue":"Journal of the American Geriatrics Society","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Royal Victoria Hospital","funders":"National Institute on Minority Health and Health Disparities; National Institute on Aging","keywords":"Medicine; Sarcopenia; Inflammation; Muscle strength; C-reactive protein; Internal medicine; Ageing; Protein catabolism; Population; Tumor necrosis factor alpha; Endocrinology; Physiology; Physical therapy; Environmental health; Biology; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00141241,0.0004179771,0.0006818605,0.0004374774,0.0002164064,0.0005623199,0.0003306885,0.001043866,0.001580271],"category_scores_gemma":[0.003622673,0.0001853844,0.0004754463,0.0009546893,0.0003856172,0.0005035182,0.0002616604,0.0006526514,0.0002321003],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002315199,"about_ca_system_score_gemma":0.0003321733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002054024,"about_ca_topic_score_gemma":0.003069757,"domain_scores_codex":[0.9995133,0.0002286514,0.00004168538,0.00008103341,0.00008268004,0.00005269722],"domain_scores_gemma":[0.9979026,0.0007432785,0.0008997857,0.00005219435,0.0001826764,0.0002193118],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002077899,0.0002004956,0.9873772,0.0003835709,0.0007491648,0.00006628202,0.00009227437,0.00005169143,0.0003567125,0.00002688202,0.0002523771,0.008365391],"study_design_scores_gemma":[0.00004132232,0.000517394,0.9984742,0.0000907998,0.0002926623,0.00007667139,0.00005226929,0.00009857344,0.00004295931,0.00005156249,0.0002582374,0.000003308704],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518164,0.04553175,0.000152535,0.001443477,0.00006785037,0.00002398016,0.0003654634,0.000004135695,0.0005944853],"genre_scores_gemma":[0.9913319,0.007289521,0.0001656885,0.0003469594,0.0002505448,0.00002260221,0.0002444244,0.000001519371,0.0003468704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002054024,"threshold_uncertainty_score":0.007469594,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323281855208228,"score_gpt":0.2876609770892698,"score_spread":0.2744281585371875,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}